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Turning Spreadsheets into Corporate Data

You're reading from   Turning Spreadsheets into Corporate Data Transform your spreadsheets into credible and reliable information

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781634622288
Length 140 pages
Edition 1st Edition
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Author (1):
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Bill Inmon Bill Inmon
Author Profile Icon Bill Inmon
Bill Inmon
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Table of Contents (16) Chapters Close

1. Introduction FREE CHAPTER
2. 1: Brief History of Spreadsheets 3. 2: Spreadsheet Paradox 4. 3: Spreadsheet Varieties 5. 4: The PDF Spreadsheet 6. 5: The Basics of Spreadsheet Formatting 7. 6: Spreadsheet Disambiguation 8. 7: The Intermediate Database 9. 8: The ssdef Database 10. 9: The Corporate Database 11. 10: The Mnemonic Dictionary 12. 11: Political Considerations Within the Organization 13. 12: Data Modeling and the Spreadsheet Environment 14. 13: Case Study
15. Glossary
16. Index

Spreadsheet Data in the Data Warehouse

It has long been known that raw data entering a data warehouse needs to be transformed. In this regard, data coming from a spreadsheet is no different.

Why, though, should data coming from a spreadsheet be transformed? And doesn’t transforming the data change the value of the data? And isn’t the owner of the spreadsheet the only person that is allowed to change the value of data?

The answer is this: for the purposes of preparing spreadsheet data for a data warehouse, transformation does not truly violate the principle that only the owner of the spreadsheet should be allowed to change data.

In order to see why this is true, consider an example.

Suppose the owner of a spreadsheet enters a value of 135 Mexican pesos. Suppose the spreadsheet is transformed into a data warehouse, but the data warehouse keeps track of money in US dollars. As the data from the spreadsheet is written into the data warehouse, the transformation...

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